| Key | Action |
|---|---|
| s | Nodes glow :D |
| c | remove glow |
| p | Print mode - white backgrounds |
| d | Display mode - black backgrounds |
| z | Turn off gravity |
| m | Spacious layout |
| e | Tight layout |
| f | Freeze layout |
| x | Unfreeze all nodes |
[0]
40
adaptive
PyclusteringXMeans(initial_centers=[array([0.21367521, 0.20132325, 0.66257089, 0.1294896 , 0.0047259 ,
0.45247501, 0.31851084, 0.07384832, 0.26926512, 0.0019139 ,
0.84132212, 0.95293011, 0.04706989, 0. , 0.30148056,
0.32636107, 0.18138007, 0.11809224, 0.05759717, 0.01508889,
0.0275522 , 0.23307273, 0. , 0.16953072, 0.05918649,
0.06776037, 0.02206432, 0.13779363, 0.04554979, 0.004049...
1.67910448e-02, 0.00000000e+00, 7.46268657e-02, 2.74253731e-01,
5.57835821e-01, 6.15671642e-02, 6.79411765e-01, 0.00000000e+00,
1.58823529e-01, 0.00000000e+00, 1.61764706e-01, 5.46641791e-01,
1.95895522e-01, 1.79104478e-01, 5.03731343e-02, 2.79850746e-02,
0.00000000e+00, 0.00000000e+00, 1.14705882e-01, 0.00000000e+00,
0.00000000e+00, 4.70588235e-02, 2.08823529e-01, 0.00000000e+00,
2.05882353e-01, 4.23529412e-01])])
None
1
146
399
5156
2069
RO_TP_19_pct, BVAP_pct, HVAP_pct, WVAP_pct, ASIANVAP_pct, normalized_log_area, married_pct, divorced_pct, receiving_public_assistance_pct, non_computer_pct, internet_pct, family_pct, living_alone_pct, non_family_multi_member_pct, lt_highschool_pct, highschool_pct, some_college_pct, associates_pct, bachelors_pct, grad_and_professional_pct, cop_pct, medicare_medicaid_pct, tricare_va_pct, uninsured_pct, LESS_10K_pct, 10K_15K_pct, 15K_20K_pct, 20K_25K_pct, 25K_30K_pct, 30K_35K_pct, 35K_40K_pct, 40K_45K_pct, 45K_50K_pct, 50K_60K_pct, 60K_75K_pct, 75K_100K_pct, 100K_125K_pct, 125K_150K_pct, 150K_200K_pct, 200K_MORE_pct, normalized_centroid_x, normalized_centroid_y, drives_alone_work_pct, public_transit_work_pct, walk_to_work_pct, bike_to_work_pct, lt_10_min_pct, 10_to_30_min_pct, 30_to_60_min_pct, gt_60_min_pct, eng_only_pct, esp_lim_pct, esp_not_lim_pct, other_lang_lim_pct, other_lang_not_lim_pct, mbsa_occupation_pct, service_occupation_pct, sales_and_office_occupation_pct, nrcm_occupation_pct, ptmm_occupation_pct, built_after_2014_pct, built_2010_2013_pct, built_00s_pct, built_90s_pct, built_80s_pct, built_70s_pct, built_60s_pct, built_50s_pct, built_40s_pct, built_pre_40s_pct, female_pct, veteran_pct
mean